How to calculate a coefficient of correlation, by year, in R and put results in a dataframe?

I want to calculate the coefficient of correlation, by year, in R and put the results in a dataframe (then repeat the process by calculating the coefficient of determination). The following code returns a value which, I'm guessing, is for all years combined. The value appears in the console but not the dataframe.

xmasCount_Amt_Coef_Correlation <- xmasCount_Amt_df_ByCheckDate %>% 
  group_by(Year.x, YTD_Range.x)

cor(xmasCount_Amt_df_ByCheckDate$n, xmasCount_Amt_df_ByCheckDate$Amount)

A sample screenshot of my source table xmasCount_Amt_df_ByCheckDate is shown below. The complete table (dataframe) contains data for 2020-2022. The desired output table looks identical to the source table which is not what I want. I'm obviously missing a step or two but am clueless as to what. Any suggestions would be appreciated.

Source table xmasCount_Amt_df_ByCheckDate

can you modify as needed, the below code in your project and let me know what you get:

library(dplyr)

# Group by year, then calculate corr coeff for each group
xmasCount_Amt_Coef_Correlation <- xmasCount_Amt_df_ByCheckDate %>%
  group_by(Year.x) %>%
  summarise(correlation = cor(n, Amount))

# and the result:
xmasCount_Amt_Coef_Correlation

One way you could do is (the coefficient of determination is denoted by R^2):

# add a new column with the coefficient of determination
xmasCount_Amt_Coef_Correlation <- xmasCount_Amt_Coef_Correlation %>%
  mutate(determination = correlation^2)

# View the resulting data frame
xmasCount_Amt_Coef_Correlation